Integrated Renewable Smart Grid System Using Fuzzy Based Intelligent Controller

被引:3
作者
Vijayal, V. [1 ]
Krishnamoorthi, K. [2 ]
机构
[1] RMK Coll Engn & Technol, Dept EEE, Chennai 601206, Tamil Nadu, India
[2] Sona Coll Technol, Dept EEE, Salem 636302, India
关键词
5-H bridge MLI; LCL filter; renewable energy; power quality; fuzzy heuristic algorithm; genetic algorithm; LCL-FILTER DESIGN; STABILITY ANALYSIS; FEEDBACK-CONTROL; CONVERTER; INVERTER;
D O I
10.32604/iasc.2022.023890
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In high power medium voltage applications, the utilization of 5-H Bridge Multi-Level Inverter (MLI) has grown vastly in recent years. The 5-H Bridge MLI can effectively control link voltage as well as power factor. However, the inverter imparts harmonics owing to the high switching frequency. Hence Inductance Capacitance Inductance (LCL) filter is implemented at its output to mitigate harmonics in presence of non-linear load. It's of highly important to choose LCL parameters wisely in order to attain good filtering effect. This work investigates the application of 5-H Bridge MLI with LCL filter at the output for efficient integration of renewable energy sources on to the grid. A modified fuzzy heuristic approach is used to solve LCL power filter optimization problem at output of 5-H Bridge Multi-Level Inverter. Subject to the constraint's harmonic distortion and losses of the inverter, multi objective optimization problem is solved to obtain LCL filter optimal values. The optimized LCL filter design was applied to a grid connected cascaded H-bridge MLI of rating 4.5 MW, 11 kV. MATLAB-Simulink is utilized for modelling and simulating the system. The results showed that the system is more efficient and generic. dSPACE Hardware in Loop (HIL) test system was used to verify the efficacy of the prototype system.
引用
收藏
页码:651 / 667
页数:17
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